FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Senior Data Administrator
Montreal Oficial. Develop data pipelines in Python for ingesting and processing large volumes of information .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing data pipelines using Python and designing advanced database architectures in PostgreSQL and MongoDB. Proficient in data cleansing, visualization, and integration, with a strong foundation in data governance and AI model support.
Highest-signal resume keywords
Advanced Python SkillsPostgreSQL Database DesignMongoDB Data ManagementDAX (Power BI) KnowledgeData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData CleansingData AnonymizationData EnrichmentDatabase IntegrityData ModelingETL ProcessesData VisualizationStatisticsMachine Learning
Soft Skills
Agile Development Experience
Tools & Technologies
PostgreSQLMongoDBPower BIElastic (Elasticsearch)AI Models
Certifications & Qualifications
Bachelor's Degree in Information Technology
Industry Keywords
Data GovernanceFinancial TransactionsUnstructured DataHigh ConcurrencyData MiningPrompt EngineeringAgentic AI
Tech Stack
Tools & technologiesElasticSearchETLMongoDBPostgresPython
About the role
Key responsibilities & impact- Develop data pipelines in Python for ingesting and processing large volumes of information
- Design advanced architectures in PostgreSQL for financial transactions and MongoDB for unstructured data
- Program data cleansing, anonymization, and enrichment routines
- Ensure database integrity and performance under high concurrency
- Create intelligent dashboards (BI) using industry-standard tools
- Integrate complex data from heterogeneous sources and formats
- Create logical and physical data models, including primary and foreign keys, indexes, and views
- Work with data visualization, data mining, and ETL
- Program pipelines that will feed governance systems and AI models
Requirements
What you’ll need- Completed higher education (technologist degree, bachelor's degree, and/or lato sensu or stricto sensu graduate degree) in Information Technology
- Experience as a Senior Data Analyst and in agile development
- Advanced Python skills for data engineering
- Knowledge of PostgreSQL and MongoDB
- Knowledge of DAX (Power BI)
- Knowledge of LLMs and prompt engineering best practices
- Knowledge of Elastic (Elasticsearch), statistics, agentic AI, and machine learning is desirable
Benefits
Comp & perks- The company invests in talent development
- Collaborative, respectful, and supportive work environment
- Remote work